Tradurre la letteratura russa contemporanea per l'infanzia

Questo lavoro affronta la traduzione della letteratura per l'infanzia. La prima parte teorica si divide tra l'analisi di cosa si intenda per traduzione per l'infanzia, quali siano le problematiche e le particolarità che la caratterizzano, e un'analisi delle specificità della traduzione dal russo all'italiano, con un approfondimento della letteratura russa contemporanea per l’infanzia. La seconda parte, pratica, analizza le traduzioni della stessa dottoranda per calare in esempi pratici le possibilità teoriche analizzate nella prima parte. Vengono affrontati brani dei maggiori scrittori contemporanei, come G. Oster, M. Moskvina, M. Borodickaja, Ju. Nečiporenko e altri. Caratteristiche fondanti la letteratura per l’infanzia sono l’interazione tra parola e immagine, il ruolo della lettura a voce alta e l’importanza del suono, i nomi parlanti, il doppio destinatario, l’adattamento, il rispetto dei canoni morali e estetici imposti dalla società, il carattere pedagogico. Gli aspetti teorici esaminati sono il traduttore come lettore e la ricerca di un equivalente funzionale come strategia traduttiva. This thesis is about translation of children’s literature. In the first section, I explore the meanings of translating for children, and which are its issues and peculiarities; the specificities in translation from Russian into Italian; the background of contemporary Russian Children’s Literature (G. Oster, M. Moskvina, M. Boroditskaya, Yu. Nechiporenko). In the second part I analyze my translations, in order to give some practical examples of the theoretical strategies I explored in the first section. Relevant characteristic of children’s literature are: its pedagogical character, interaction between word and image, double addressee, the importance of reading aloud, adaptation, respect of moral and aesthetic canons imposed by the society. The theoretical aspects examined in this thesis involve the issue of the translator seen as reader, and the search of functional equivalents as dominant translation strategy.

Computational strategies to include protein flexibility in Ligand Docking and Virtual Screening

The dynamic character of proteins strongly influences biomolecular recognition mechanisms. With the development of the main models of ligand recognition (lock-and-key, induced fit, conformational selection theories), the role of protein plasticity has become increasingly relevant. In particular, major structural changes concerning large deviations of protein backbones, and slight movements such as side chain rotations are now carefully considered in drug discovery and development. It is of great interest to identify multiple protein conformations as preliminary step in a screening campaign. Protein flexibility has been widely investigated, in terms of both local and global motions, in two diverse biological systems. On one side, Replica Exchange Molecular Dynamics has been exploited as enhanced sampling method to collect multiple conformations of Lactate Dehydrogenase A (LDHA), an emerging anticancer target. The aim of this project was the development of an Ensemble-based Virtual Screening protocol, in order to find novel potent inhibitors. On the other side, a preliminary study concerning the local flexibility of Opioid Receptors has been carried out through ALiBERO approach, an iterative method based on Elastic Network-Normal Mode Analysis and Monte Carlo sampling. Comparison of the Virtual Screening performances by using single or multiple conformations confirmed that the inclusion of protein flexibility in screening protocols has a positive effect on the probability to early recognize novel or known active compounds.